Youru Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction	2024	Muhao Xu Zhenfeng Zhu Youru Li Shuai Zheng Yawei Zhao Kunlun He Yao Zhao
+ PDF Chat	Information Maximization via Variational Autoencoders for Cross-Domain Recommendation	2024	Xuying Ning Wujiang Xu Xiaolei Liu Mingming Ha Qiongxu Ma Youru Li Linxun Chen Yongfeng Zhang
+ PDF Chat	Node-Oriented Spectral Filtering for Graph Neural Networks	2023	Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao Zhao
+	HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	2023	Youru Li Zhenfeng Zhu Xiaobo Guo Shaoshuai Li Yuchen Yang Yao Zhao
+	HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	2022	Youru Li Zhenfeng Zhu Xiaobo Guo Shaoshuai Li Yuchen Yang Yao Zhao
+	Node-oriented Spectral Filtering for Graph Neural Networks	2022	Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao Zhao
+ PDF Chat	EA-LSTM: Evolutionary attention-based LSTM for time series prediction	2019	Youru Li Zhenfeng Zhu Deqiang Kong Hua Han Yao Zhao
+	EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction	2018	Youru Li Zhenfeng Zhu Deqiang Kong Hua Han Yao Zhao

Common Coauthors

Coauthor	Papers Together
Zhenfeng Zhu	7
Yao Zhao	7
Shuai Zheng	2
Xiaobo Guo	2
Yuchen Yang	2
Zhizhe Liu	2
Deqiang Kong	2
Shaoshuai Li	2
Xuying Ning	1
Hua Han	1
Hua Han	1
Shuai Zheng	1
Qiongxu Ma	1
Yongfeng Zhang	1
Muhao Xu	1
Kunlun He	1
Yawei Zhao	1
Linxun Chen	1
Wujiang Xu	1
Mingming Ha	1
Xiaolei Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Multitask learning and benchmarking with clinical time series data	2019	Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan	2
+	Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models	1970	George E. P. Box David A. Pierce	2
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	2
+	On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent	2017	Xingwen Zhang Jeff Clune Kenneth O. Stanley	2
+ PDF Chat	Joint CTC-attention based end-to-end speech recognition using multi-task learning	2017	Suyoun Kim Takaaki Hori Shinji Watanabe	2
+	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents	2017	Edoardo Conti Vashisht Madhavan Felipe Petroski Such Joel Lehman Kenneth O. Stanley Jeff Clune	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	1
+	Wavelets on graphs via spectral graph theory	2010	David K. Hammond Pierre Vandergheynst Rémi Gribonval	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning	2017	Jiasen Lu Caiming Xiong Devi Parikh Richard Socher	1
+ PDF Chat	Spectral Graph Convolutions for Population-Based Disease Prediction	2017	Sarah Parisot Sofia Ira Ktena Enzo Ferrante Matthew Lee Ricardo Guerrerro Moreno Ben Glocker Daniel Rueckert	1
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	1
+	Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients	2017	Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley	1
+ PDF Chat	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction	2018	Luchen Liu Jianhao Shen Ming Zhang Zichang Wang Jian Tang	1
+ PDF Chat	Graph Signal Processing: Overview, Challenges, and Applications	2018	Antonio Ortega Pascal Frossard Jelena Kovačević José M. F. Moura Pierre Vandergheynst	1
+ PDF Chat	RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records	2018	Bum Chul Kwon Minje Choi Joanne Taery Kim Edward Choi Youngbin Kim Soon‐Wook Kwon Jimeng Sun Jaegul Choo	1
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	1
+ PDF Chat	BioBERT: a pre-trained biomedical language representation model for biomedical text mining	2019	Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang	1
+ PDF Chat	Graph Neural Networks with Convolutional ARMA Filters	2021	Filippo Maria Bianchi Daniele Grattarola Lorenzo Livi Cesare Alippi	1
+ PDF Chat	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction	2019	Anees Kazi Shayan Shekarforoush S.Arvind krishna Hendrik Burwinkel Gerome Vivar Karsten Kortüm Seyed‐Ahmad Ahmadi Shadi Albarqouni Nassir Navab	1
+	Stability Properties of Graph Neural Networks	2020	Fernando Gama Joan Bruna Alejandro Ribeiro	1
+ PDF Chat	Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition	2019	Lei Shi Yifan Zhang Jian Cheng Hanqing Lu	1
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	1
+ PDF Chat	Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition	2018	Sijie Yan Yuanjun Xiong Dahua Lin	1
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+ PDF Chat	ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network	2020	Fei Li Hong Yu	1
+ PDF Chat	ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context	2020	Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiangtao Wang Wen Tang Xinyu Ma Xin Gao Junyi Gao	1
+	Geom-GCN: Geometric Graph Convolutional Networks	2020	Hongbin Pei Bingzhe Wei Kevin Chen–Chuan Chang Yu Lei Bo Yang	1
+ PDF Chat	Graph Neural Networks with Heterophily	2021	Jiong Zhu Ryan A. Rossi Anup Rao Tung Mai Nedim Lipka Nesreen K. Ahmed Danai Koutra	1
+ PDF Chat	Neural Graph Collaborative Filtering	2019	Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat‐Seng Chua	1
+ PDF Chat	Beyond Low-frequency Information in Graph Convolutional Networks	2021	Deyu Bo Xiao Wang Chuan Shi Huawei Shen	1
+ PDF Chat	UniT: Multimodal Multitask Learning with a Unified Transformer	2021	Ronghang Hu Amanpreet Singh	1
+	New Benchmarks for Learning on Non-Homophilous Graphs	2021	Derek Lim Xiuyu Li Felix Höhne Ser-Nam Lim	1
+ PDF Chat	Interpreting and Unifying Graph Neural Networks with An Optimization Framework	2021	Meiqi Zhu Xiao Wang Chuan Shi Houye Ji Peng Cui	1
+ PDF Chat	Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction	2021	Laila Rasmy Yang Xiang Ziqian Xie Cui Tao Degui Zhi	1
+ PDF Chat	Multi-Scale attributed node embedding	2021	Benedek Rózemberczki Carl Allen Rik Sarkar	1
+	Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns	2021	Susheel Suresh Vinith Budde Jennifer Neville Li Pan Jianzhu Ma	1
+ PDF Chat	Heterogeneous Multi-Task Learning With Expert Diversity	2022	Raquel Aoki Frederick Tung Gabriel L. Oliveira	1
+ PDF Chat	When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control	2021	Chaochao Chen Jun Zhou Li Wang Xibin Wu Wenjing Fang Jin Tan Lei Wang Alex X. Liu Hao Wang Hong Cheng	1
+	Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?	2021	Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiao-Wen Chang Doina Precup	1
+ PDF Chat	Self-Supervised Graph Co-Training for Session-based Recommendation	2021	Xin Xia Hongzhi Yin Junliang Yu Yingxia Shao Lizhen Cui	1
+ PDF Chat	Block Modeling-Guided Graph Convolutional Neural Networks	2022	Dongxiao He Chundong Liang Huixin Liu Mingxiang Wen Pengfei Jiao Zhiyong Feng	1
+ PDF Chat	Multi-Modal Graph Learning for Disease Prediction	2022	Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yuchen Yang Yao Zhao	1
+	Graph Neural Networks for Graphs with Heterophily: A Survey	2022	Xin Zheng Yixin Liu Shirui Pan Miao Zhang Di Jin Philip S. Yu	1
+	Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models	1970	George E. P. Box David A. Pierce	1
+	How Powerful are Spectral Graph Neural Networks	2022	Xiyuan Wang Muhan Zhang	1